LCGC Magazine is pleased to announce the addition of Taylor Zhang to its editorial advisory board.
Zhang is a principal scientist and group leader in protein analytical chemistry at Genentech in South San Francisco, where he has worked since 2006. Prior to his work with Genentech, Zhang was a research specialist and senior analytical biochemist at Dow Chemical. He has more than ten years of experience in bioprocess development and has authored more than 20 publications in the field of bioanalytical chemistry.
Zhang’s research interests involve using different separation techniques for therapeutic protein characterization, and developing methods for the quality control system. He and his group are responsible for analytical characterization, method development, and technical transfers for clinical and commercial products, and for evaluation and implementation of new analytical techniques into these clinical and commercial control systems of therapeutic protein drugs.
He received his PhD in analytical chemistry in 2000 from Iowa State University (Ames, Iowa), where his research focused on separation methods, primarily high throughput capillary electrophoresis coupled with on-line sample preparation.
Investigating the Protective Effects of Frankincense Oil on Wound Healing with GC–MS
April 2nd 2025Frankincense essential oil is known for its anti-inflammatory, antioxidant, and therapeutic properties. A recent study investigated the protective effects of the oil in an excision wound model in rats, focusing on oxidative stress reduction, inflammatory cytokine modulation, and caspase-3 regulation; chemical composition of the oil was analyzed using gas chromatography–mass spectrometry (GC–MS).
Evaluating Natural Preservatives for Meat Products with Gas and Liquid Chromatography
April 1st 2025A study in Food Science & Nutrition evaluated the antioxidant and preservative effects of Epilobium angustifolium extract on beef burgers, finding that the extract influenced physicochemical properties, color stability, and lipid oxidation, with higher concentrations showing a prooxidant effect.
Rethinking Chromatography Workflows with AI and Machine Learning
April 1st 2025Interest in applying artificial intelligence (AI) and machine learning (ML) to chromatography is greater than ever. In this article, we discuss data-related barriers to accomplishing this goal and how rethinking chromatography data systems can overcome them.